Abstract
The financial crisis and the growth of Information Technology have led companies to look for innovative ways to achieve knowledge in order to meet the demands of the market. This article presents a synthesis definition of characteristics and behaviors of the companies phase to risks, to design a tool of simulation of competitiveness that is an advantage for the managers. This research was based on the analysis of business administration books and Artificial Intelligence, by authors such as: P. Drucker or M. Mitchell and S. Forrest. It resulted in the design of a tool to simulate the competitiveness of companies, based on the definition of a genome and an artificial ecosystem. As future work, it will be interesting to develop the designed tool and analyze its operation based on real data shared by business managers.

Abstract
Foot-tapping and moving to music is such a natural human activity, one may assume that feeling the beat in music is a simple task. Feeling the beat and then producing it, e.g., by foot tapping, is an intrinsically real-time process. As listeners, we do not wait for the beat to occur before tapping our foot; instead, we make predictions about when the next beat in the music will occur and continually revise our sense of the beat based on the accuracy of our predictions. Likewise, performing musicians have shared sense of beat, which is what allows them to play in time together. © 2017 IEEE.

Abstract

Abstract
The big amount of data generated nowadays are being used by Big Data tools to generate knowledge and to facilitate the decision-making. However, this situation creates a new challenge: how to visualize all these data without losing mid/long term crucial information. The purpose of this article is to analyze the state of the art on massive data visualization, main problems and challenges of information representation current techniques as well as the evolution of the tools and the future of them, in other words, new functionalities to offer.

Abstract
Microscopic examination is currently the gold standard test for diagnosis of several neglected tropical diseases. However, reliable identification of parasitic infections requires in-depth train and access to proper equipment for subsequent microscopic analysis. These requirements are closely related with the increasing interest in the development of computer-aided diagnosis systems, and Mobile Health is starting to play an important role when it comes to health in Africa, allowing for distributed solutions that provide access to complex diagnosis even in rural areas. In this paper, we present a 3D-printed microscope that can easily be attached to a wide range of mobile devices models. To the best of our knowledge, this is the first proposed smartphone-based alternative to conventional microscopy that allows autonomous acquisition of a pre-defined number of images at 1000x magnification with suitable resolution, by using a motorized automated stage fully powered and controlled by a smartphone, without the need of manual focus of the smear slide. Reference smears slides with different parasites were used to test the device. The acquired images showed that was possible to visually detect those agents, which clearly illustrate the potential that this device can have, specially in developing countries with limited access to healthcare services.

Abstract
Software testing and benchmarking are key components of the software development process. Nowadays, a good practice in large software projects is the continuous integration (CI) software development technique. The key idea of CI is to let developers integrate their work as they produce it, instead of performing the integration at the end of each software module. In this paper, we extend a previous work on a benchmark suite for the YAP Prolog system, and we propose a fully automated test bench environment for Prolog systems, named Yet Another Prolog Test Bench Environment (YAPTBE), aimed to assist developers in the development and CI of Prolog systems. YAPTBE is based on a cloud computing architecture and relies on the Jenkins framework as well as a new Jenkins plugin to manage the underlying infrastructure. We present the key design and implementation aspects of YAPTBE and show its most important features, such as its graphical user interface (GUI) and the automated process that builds and runs Prolog systems and benchmarks.